{"id":"W4386451513","doi":"10.2196/47677","title":"Sharing Reliable COVID-19 Information and Countering Misinformation: In-Depth Interviews With Information Advocates","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona State University","keywords":"Misinformation; Distrust; Thematic analysis; Credibility; Psychology; Disinformation; Phone; Social media; Internet privacy; Information sharing; Health care; Public relations; Qualitative research; Political science; Computer science; Sociology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026416,0.0007057997,0.0007950296,0.00210187,0.01024581,0.004286911,0.001827576,0.003072187,0.002523997],"category_scores_gemma":[0.03704611,0.0009769152,0.0004162107,0.001413572,0.008673128,0.006040432,0.006803049,0.00536159,0.0004415563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003482266,"about_ca_system_score_gemma":0.005465212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005345694,"about_ca_topic_score_gemma":0.007892436,"domain_scores_codex":[0.9802485,0.01555748,0.0005420099,0.0005642354,0.0009920005,0.002095845],"domain_scores_gemma":[0.9578477,0.03226573,0.002873084,0.0007044408,0.002435005,0.003874009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001564524,0.00004508621,0.001797486,0.00004166124,0.0000016813,0.0002835172,0.995432,0.00001113048,0.0002832646,0.0003320898,0.0002946856,0.001461719],"study_design_scores_gemma":[0.000006014743,0.00007743479,0.0009048237,0.00009639728,0.000004401412,0.0001455071,0.991477,0.0001041955,0.000207316,0.0001975911,0.00677004,0.000009338044],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869736,0.0006317566,0.002189598,0.004153749,0.0000763307,0.0004158128,0.00006833528,0.00002153996,0.005469088],"genre_scores_gemma":[0.9934488,0.0008578211,0.001982938,0.00123604,0.00004288437,0.0004370515,0.00004886976,0.00001978624,0.001925878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.026416,"threshold_uncertainty_score":0.1397029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06346334307942053,"score_gpt":0.3794883137523026,"score_spread":0.316024970672882,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}